Who Will Review Tax Returns When AI Trains No One? | ARC

Firms must build new pathways that develop reviewers, judgment and client-facing skills.

 

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Accounting ARC
With Donny Shimamoto, Liz Mason, and Byron Patrick

Center for Accounting Transformation

Artificial intelligence may not eliminate the entry-level tax professional. But it is dismantling the job that many firms still use to train one.

That’s the conversation driving a new episode of the Accounting ARC podcast featuring Donny Shimamoto, CPA.CITP, CGMA, founder and managing director of IntrapriseTechKnowlogies LLC and founder and inspiration architect for the Center for Accounting Transformation; and Liz Mason, CPA, CEO of High Rock Accounting.

The conversation begins with a small tax firm that hires six interns each year and teaches them to prepare returns much as earlier generations learned: working from paper documents, identifying relevant numbers, mapping those figures to tax forms, and entering the data into tax software.

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The firm owner sees the process as an apprenticeship that helps students bridge the gap between an individual tax course and real-world preparation. Shimamoto sees value in teaching interns how information moves from source documents to a completed return. Mason agrees with the objective but challenges the method.

“From a holistic learning exploration, sure, yes, that is a way to learn,” Mason says. “From a where-we-are-today perspective, I think that’s a giant disservice to these interns.”